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Stabilization of tie-line power oscillations by robust SMES in interconnected power system with large wind farms
(2009-12-16)
Ngamroo, I.
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Cuk Supriyadi, A. N.
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Dechanupaprittha, S.
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Mitani, Y.
This paper proposes a robust controller design of Superconducting Magnetic Energy Storage (SMES) for stabilization of interconnected power systems with wind farms. The inverse additive perturbation is applied to represent system uncertainties such as variation of system parameters, several generating and loading conditions etc. The structure of active and reactive power controllers of SMES is the first-order lead-lag compensator. To tune the controller parameters, the optimization problem is formulated based on the enhancement of additive stability margin. The particle swarm optimization is used to solve for controller parameters. Simulation studies in a six-area interconnected power system with wind farms confirm the robustness of the proposed SMES against various system operating conditions.
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Power oscillation suppression by robust SMES in power system with large wind power penetration
(2009-01-01)
Ngamroo, Issarachai
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Cuk Supriyadi, A. N.
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Dechanupaprittha, Sanchai
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Mitani, Yasunori
The large penetration of wind farm into interconnected power systems may cause the severe problem of tie-line power oscillations. To suppress power oscillations, the superconducting magnetic energy storage (SMES) which is able to control active and reactive powers simultaneously, can be applied. On the other hand, several generating and loading conditions, variation of system parameters, etc., cause uncertainties in the system. The SMES controller designed without considering system uncertainties may fail to suppress power oscillations. To enhance the robustness of SMES controller against system uncertainties, this paper proposes a robust control design of SMES by taking system uncertainties into account. The inverse additive perturbation is applied to represent the unstructured system uncertainties and included in power system modeling. The configuration of active and reactive power controllers is the first-order lead-lag compensator with single input feedback. To tune the controller parameters, the optimization problem is formulated based on the enhancement of robust stability margin. The particle swarm optimization is used to solve the problem and achieve the controller parameters. Simulation studies in the six-area interconnected power system with wind farms confirm the robustness of the proposed SMES under various operating conditions. © 2008 Elsevier B.V. All rights reserved.
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Inverse additive perturbation-based optimization of robust PSS in an interconnected power system with wind farms
(2008-12-01)
Cuk Supriyadi, A. N.
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Ngamroo, I.
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Kunakorn, A.
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Dechanupaprittha, S.
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Watanabe, M.
This paper proposes a design of robust power system stabilizer (RPSS) based on inverse additive perturbation optimization in an interconnected power system with wind farms. In the design, system uncertainties are represented by the inverse additive model. The robust stability condition is used to form the optimization problem of PSS parameters. The structure of PSS is a conventional second-order lead-lag controller. The genetic algorithm is applied to solve the problem and achieve the PSS parameters. Simulation studies in the two-area four-machine system with wind farms confirm that the damping effect and robustness of the proposed PSS are superior to those of the compared PSS. © 2008 SICE.
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H∞ loop shaping-based robust control design of PSS and TCSC for dynamic stability enhancement
(2008-10-06)
Cuk Supriyadi, A. N.
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Ngamroo, I.
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Kaitwanidvilai, S.
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Kunakorn, A.
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Hashiguchi, T.
In this paper, the robust control design of power system stabilizer (PSS) and thyristor controlled series capacitor (TCSC) for enhancement of power system dynamic stability is proposed. To take system uncertainties such as variations of system parameters, several loading conditions etc., into account, the normalized coprime factorization is used to represent unstructured uncertainties in the system. The H∞ loop shaping technique is applied to design robust PSS and TCSC controllers. Simulation results in a single machine infinite bus system show that the performance and robustness of the proposed H∞ controllers of PSS and TCSC are superior to those of the conventional PSS and TCSC. © 2008 IEEE.
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Robust pitch controller design in hybrid wind-diesel power generation system
(2008-09-23)
Cuk Supriyadi, A. N.
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Ngamroo, I.
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Kaitwanidvilai, S.
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Kunakorn, A.
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Hashiguchi, T.
In this paper, the robust control design of pitch controller for frequency control in a hybrid wind-diesel power generation system is proposed. The structure of the pitch controller is a 1<sup>st</sup>-order lead-lag compensator. To take system uncertainties into account, the coprime factorization is applied in system modeling. To obtain the controller parameters, the performance and stability conditions of H<inf>∞</inf> loop shaping technique are used to formulate the optimization problem. The genetic algorithm is employed to solve the problem. Simulation studies show the frequency control effect and robustness of the proposed controller against system uncertainties in comparison with a variable structure pitch control. ©2008 IEEE.

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